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Datasets:
StevenHH2000
/
iNat21-1shot-fewshots

Tasks:
Image-Text-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
multimodal
llm
vision
Libraries:
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Polars
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This is the official release of the training dataset for paper Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models. Code is available at https://github.com/PKU-ICST-MIPL/TARA_CVPR2026.

Data Source

Training

  • We randomly sample 1-shot data per category from iNaturalist2021 dataset.

Data Fields

  • image: input image(s)
    • data type: dict
  • problem: input question
    • data type: string
  • label: coarse-to-fine categories
    • data type: string
  • image_width: image width
    • data type: int64
  • image_height: image height
    • data type: int64
Downloads last month
30
Number of rows:
9,659
Total file size:
858 MB

Paper for StevenHH2000/iNat21-1shot-fewshots